GEO series
Comparative translating ribosome affinity purification-RNAseq (TRAPseq) by lung cell-specific drivers
GSE250140
Mus musculus
Expression profiling by high throughput sequencing
49 samples
2025/12/01
GPL19057
Summary
Translating ribosome affinity purification coupled to next-generation RNA sequencing permits profiling of specific cellular compartments. Here, we used well-characterized Cre and CreER drivers to lineage trace different cell populations in the developing lung with a ribosomal L10-GFP fusion protein. Two different anti-GFP antibodies were used to pull down ribosomes. mRNA was isolated, reversed transcribed, and processed using next-generation sequencing. Profiling showed distinct clustering between alveolar cell drivers and epithelial cell drivers, which were clearly distinguishable from raw mRNA input.
Download
NCBI GEO page ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
mouse RNA-seq datasets →
Similar datasets
- GSE292862 Modelling mouse embryogenesis from chemically induced totipotent stem cells 22 samples
- GSE185862 A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation 95 samples
- GSE334940 Tissue nanotransfection-mediated induction of neurogenic programs promotes myoprotective responses in denervated skeletal muscle 15 samples
- GSE304862 Semaglutide and exercise synergy in obesity: preserving muscle mass and uncovering organ crosstalk 209 samples
- GSE343043 Disease context dictates the cellular targets of IL-17 in inflammatory skin disease 29 samples
- GSE341948 Multi-tissue transcriptomic landscape reveals synergistic mechanisms of exercise and GLP-1 agonist in ameliorating diabetic phenotypes in db/db mice 12 samples
- GSE293315 MRPGRX2 Antagonist Treatment Prevents Inflammation and Disease in a Mouse Model of Atopic Dermatitis Dataset 2 35 samples
- GSE321707 Characterization of TLR signaling in Ticam2-/- macrophages 30 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.